UHPLC–QTOF-MS and machine learning were used to identify stable biomarkers for PMI estimation, achieving 3–6 hour accuracy. Identified metabolites include amino acids and nucleotides, with potential ...
Risk Score Model of Aging-Related Genes for Bladder Cancer and Its Application in Clinical Prognosis
Transcriptomic and clinical data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus were used to construct a 12-gene ARG-based prognostic signature through LASSO and Cox regression ...
Background: Acute ST-segment elevation myocardial infarction (STEMI) is a cardiovascular emergency that is associated with a high risk of death. In this study, we developed explainable machine ...
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...
1 Computer Science and Engineering, World University of Bangladesh, Dhaka, Bangladesh. 2 Business Analytics, International American University, California, USA. 3 ...
Institutional experience with pancreatic head versus body/tail cancer: A comparison of treatment outcomes. Preclinical study of safety and efficacy in vivo of a yttrium-90 resin microspheres glue ...
The least absolute shrinkage and selection operator-logistic regression model achieved the highest area under the receiver operating characteristic curve value, establishing it as the optimal model.
TUESDAY, May 27, 2025 (HealthDay News) -- The least absolute shrinkage and selection operator-logistic regression (Lasso-LR) model is optimal for predicting in-hospital mortality for adult patients ...
Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback